BMC Medical Informatics and Decision Making

Papers
(The TQCC of BMC Medical Informatics and Decision Making is 9. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2021-11-01 to 2025-11-01.)
ArticleCitations
Whole-cycle management of women with epilepsy of child-bearing age: ontology construction and application366
Providing evidence-based knowledge on nursing interventions at the point of care: findings from a mapping project326
Patients’ and plastic surgeons’ experiences with an online patient decision aid for breast reconstruction: considerations for nationwide implementation254
Analytical validation of Exandra: a clinical decision support system for promoting guideline-directed therapy of type-2 diabetes in primary care – a collaborative study with experts from Diabetes Cana204
Mortality and morbidity patterns in Yaoundé, Cameroon: an ICD-11 classification-based analysis194
Derivation and validation of a clinical predictive model for longer duration diarrhea among pediatric patients in Kenya using machine learning algorithms164
Data-driven decision making in patient management: a systematic review149
From algorithms to action: improving patient care requires causality121
AMPDECIDE amputation level patient decision aids: a feasibility study115
ProtoMAP: prototypical network based few-shot learning for missed abortion prediction115
Building a trustworthy AI differential diagnosis application for Crohn’s disease and intestinal tuberculosis110
An exploration into physician and surgeon data sensemaking: a qualitative systematic review using thematic synthesis110
Deep learning-based classification of dementia using image representation of subcortical signals89
Learning from low-rank multimodal representations for predicting disease-drug associations88
Patients’ views of shared decision making in inflammatory bowel disease: a survey in China88
Advanced AI-driven approach for enhanced brain tumor detection from MRI images utilizing EfficientNetB2 with equalization and homomorphic filtering88
Task-Technology Fit of Artificial Intelligence-based clinical decision support systems: a review of qualitative studies88
Hypercubes to identify geomarkers of rapid cystic fibrosis lung disease progression83
Evaluation of an ARF diagnosis calculator: a survey and content analysis82
Using artificial intelligence to identify patients with migraine and associated symptoms and conditions within electronic health records82
Explainable AI for enhanced accuracy in malaria diagnosis using ensemble machine learning models75
Detecting cognitive impairment in cerebrovascular disease using gait, dual tasks, and machine learning66
SEM model analysis of diabetic patients’ acceptance of artificial intelligence for diabetic retinopathy64
Validation of a computerized decision support system to review pharmacotherapy treatment: scheduling guidelines64
Lactate dehydrogenase to albumin ratio and poor prognosis after thrombolysis in ischemic stroke patients: developing a novel nomogram62
A retrospective analysis using comorbidity detecting algorithmic software to determine the incidence of International Classification of Diseases (ICD) code omissions and appropriateness of Diagnosis-R61
Second opinion machine learning for fast-track pathway assignment in hip and knee replacement surgery: the use of patient-reported outcome measures61
Cervical cancer screening uptake and its associated factor in Sub-Sharan Africa: a machine learning approach61
Prediction of lymphedema occurrence in patients with breast cancer using the optimized combination of ensemble learning algorithm and feature selection56
Value of normative belief in intention to use workplace health promotion apps56
A treatment recommender clinical decision support system for personalized medicine: method development and proof-of-concept for drug resistant tuberculosis55
Risk prediction of heart failure in patients with ischemic heart disease using network analytics and stacking ensemble learning55
Insights into prescribing patterns for antidepressants: an evidence-based analysis52
Construction and SHAP interpretability analysis of a risk prediction model for feeding intolerance in preterm newborns based on machine learning51
Improving computerized decision support system interventions: a qualitative study combining the theoretical domains framework with the GUIDES Checklist49
Real-time non-invasive hemoglobin prediction using deep learning-enabled smartphone imaging48
Early prediction of mortality upon intensive care unit admission48
Utilizing machine learning algorithms to predict subject genetic mutation class from in silico models of neuronal networks46
The development and phase 1 evaluation of a Decision Aid for elective egg freezing44
In silico clinical trials for relapsing-remitting multiple sclerosis with MS TreatSim43
Participant characteristics and reasons for non-consent to health information linkage for research: experiences from the ATHENA COVID-19 study43
Interoperability of heterogeneous health information systems: a systematic literature review43
Mean generation function model in AIDS epidemic estimation41
The Infomóvel—An information system for managing HIV/AIDS patients in rural areas of Mozambique41
Differences in changes of data completeness after the implementation of an electronic medical record in three surgical departments of a German hospital–a longitudinal comparative document analysis40
Application of artificial intelligence medical imaging aided diagnosis system in the diagnosis of pulmonary nodules40
Modified multiscale Renyi distribution entropy for short-term heart rate variability analysis39
Can we ever have evidence-based decision making in orthopaedics? A qualitative evidence synthesis and conceptual framework38
Deep learning-driven modality imputation and subregion segmentation to enhance high-grade glioma grading38
The impact of a patient decision aid for patients with advanced laryngeal carcinoma – a multicenter study38
The protocol of DECO-MOM: a clinical trial testing the effectiveness of a mobile application for an environmental health intervention among pregnant women37
Correction: Susceptibility of AutoML mortality prediction algorithms to model drift caused by the COVID pandemic37
Only the anxious ones? Identifying characteristics of symptom checker app users: a cross-sectional survey37
Correction to: Adaptation and validation of a coding algorithm for the Charlson Comorbidity Index in administrative claims data using the SNOMED CT standardized vocabulary37
Analysis and knowledge extraction of newborn resuscitation activities from annotation files36
Identifying the presence and severity of dementia by applying interpretable machine learning techniques on structured clinical records36
Identifying effective immune biomarkers in alopecia areata diagnosis based on machine learning methods35
Predicting miRNA-disease associations via layer attention graph convolutional network model35
MODILM: towards better complex diseases classification using a novel multi-omics data integration learning model34
Conceptual design of a generic data harmonization process for OMOP common data model34
Effects of a smartphone application named “Shared Decision Making Assistant” for informed patients with primary liver cancer in decision-making in China: a quasi-experimental study34
Enhanced ovarian cancer survival prediction using temporal analysis and graph neural networks33
Machine learning for the prediction of sepsis-related death: a systematic review and meta-analysis33
Development and usability evaluation of a mHealth application for albinism self-management32
PheNominal: an EHR-integrated web application for structured deep phenotyping at the point of care31
Machine learning algorithms to predict intraoperative hemorrhage in surgical patients: a modeling study of real-world data in Shanghai, China31
Automated machine learning for early prediction of systemic inflammatory response syndrome in acute pancreatitis31
A qualitative analysis of algorithm-based decision support usability testing for symptom management across the trajectory of cancer care: one size does not fit all31
Dynamic fall risk prediction in hospitalized cancer patients: development and validation of a machine learning model using multidimensional clinical data to overcome over-sensitivity in traditional sc30
Predicting perinatal mortality based on maternal health status and health insurance service using homogeneous ensemble machine learning methods30
The development of a decision aid to support treatment choice in pelvic organ prolapse: a Delphi study30
Using the technology acceptance model to assess clinician perceptions and experiences with a rheumatoid arthritis outcomes dashboard: qualitative study30
Validation of the German eHealth impact questionnaire for online health information users affected by multiple sclerosis30
Cardiovascular disease incidence prediction by machine learning and statistical techniques: a 16-year cohort study from eastern Mediterranean region29
Identifying and evaluating clinical subtypes of Alzheimer’s disease in care electronic health records using unsupervised machine learning29
Development and validation of an instrument to evaluate the perspective of using the electronic health record in a hospital setting29
Machine learning-based models for the prediction of breast cancer recurrence risk28
Principles of digital professionalism for the metaverse in healthcare28
Machine learning approach for the detection of vitamin D level: a comparative study28
Retrospective descriptive assessment of clinical decision support medication-related alerts in two Saudi Arabian hospitals28
Predicting blood transfusion demand in intensive care patients after surgery by comparative analysis of temporally extended data selection28
The most used questionnaires for evaluating satisfaction, usability, acceptance, and quality outcomes of mobile health28
Deep learning model for multi-classification of infectious diseases from unstructured electronic medical records28
Susceptibility of AutoML mortality prediction algorithms to model drift caused by the COVID pandemic27
De-identified Bayesian personal identity matching for privacy-preserving record linkage despite errors: development and validation27
A novel smartphone application for the tracking of procedural numbers and trainee experience in gastrointestinal endoscopy26
Extracting the latent needs of dementia patients and caregivers from transcribed interviews in japanese: an initial assessment of the availability of morpheme selection as input data with Z-scores in 26
Adolescent, parent, and provider attitudes toward a machine learning based clinical decision support system for selecting treatment for youth depression26
Automatic RadLex coding of Chinese structured radiology reports based on text similarity ensemble25
Accompanying the prostate cancer patient pathway: evaluation of novel clinical decision support software in patients with early diagnosis of prostate cancer25
A heart failure classification model from radial artery pulse wave using LSTM neural networks25
Decision fatigue of surrogate decision-makers: a scoping review25
Harnessing computational tools of the digital era for enhanced infection control25
Applying text-mining to clinical notes: the identification of patient characteristics from electronic health records (EHRs)25
Machine learning algorithms for predicting PTSD: a systematic review and meta-analysis25
The effect of capacity building evidence-based medicine training on its implementation among healthcare professionals in Southwest Ethiopia: a controlled quasi-experimental outcome evaluation25
Prognosis patients with COVID-19 using deep learning25
Drug closed-loop management system using mobile technology24
Understanding cancer patient cohorts in virtual reality environment for better clinical decisions: a usability study24
Exploring parental factors influencing low birth weight on the 2022 CDC natality dataset24
Kernel principal components based cascade forest towards disease identification with human microbiota24
Effect of short message service reminders in improving optimal antenatal care, skilled birth attendance and postnatal care in low-and middle-income countries: a systematic review and meta-analysis24
Prediction of amyloid PET positivity via machine learning algorithms trained with EDTA-based blood amyloid-β oligomerization data23
Development and user testing of a patient decision aid for cancer patients considering treatment for anxiety or depression23
CardioGraph: a platform to study variations associated with familiar cardiopathies23
Development of a machine learning-based acuity score prediction model for virtual care settings23
Predicting atrial fibrillation episodes with rapid ventricular rates associated with low levels of activity23
Machine learning models for predicting in-hospital mortality from acute pancreatitis in intensive care unit23
Secondary use of health records for prediction, detection, and treatment planning in the clinical decision support system: a systematic review23
Usability evaluation of electronic health records at the trauma and emergency directorates at the Komfo Anokye teaching hospital in the Ashanti region of Ghana23
Machine learning algorithms for predicting low birth weight in Ethiopia23
Identification of clinical factors related to prediction of alcohol use disorder from electronic health records using feature selection methods23
The perceived importance of prognostic aspects considered by physicians during work disability evaluation: a survey23
A systematic comparison of short-term and long-term mortality prediction in acute myocardial infarction using machine learning models23
Identification of confounders and estimating the causal effect of place of birth on age-specific childhood vaccination23
Predicting peripheral venous catheter related phlebitis using machine learning (PPML): development and prospective validation of PPML for cardiology inpatients22
Development of an interpretable machine learning model for predicting prolonged hospital stay in patients with acute exacerbation of chronic obstructive pulmonary disease: a retrospective cohort study22
Factors affecting the survival of prediabetic patients: comparison of Cox proportional hazards model and random survival forest method22
Communicating the results of risk-based breast cancer screening through visualizations of risk: a participatory design approach22
Chinese medical entity recognition based on the dual-branch TENER model22
Data privacy-aware machine learning approach in pancreatic cancer diagnosis22
Interpretable machine-learning model for Predicting the Convalescent COVID-19 patients with pulmonary diffusing capacity impairment22
Comparing machine learning algorithms to predict 5-year survival in patients with chronic myeloid leukemia22
The social experience of uncertainty: a qualitative analysis of emergency department care for suspected pneumonia for the design of decision support22
Requirements and challenges of hospital dashboards: a systematic literature review22
2.5D MFFAU-Net: a convolutional neural network for kidney segmentation21
A novel explainable machine learning-based healthy ageing scale21
Bayesian learning-based agent negotiation model to support doctor-patient shared decision making21
Development and perceived usability evaluation of an interactive smartphone application for the teaching of hemodynamics and evaluation of arterial pulse pressure variation21
Correction: Weight management personas of breast cancer patients undergoing chemotherapy in China: a multi-method study21
A risk prediction model based on machine learning algorithm for parastomal hernia after permanent colostomy21
Healthcare dashboard technologies and data visualization for lipid management: A scoping review21
ICD-11: an international classification of diseases for the twenty-first century21
Creating a data warehouse to support monitoring of NSQHS blood management standard from EMR data21
Exploratory application of machine learning methods on patient reported data in the development of supervised models for predicting outcomes21
A nomogram for predicting sepsis-associated delirium: a retrospective study in MIMIC III21
Exploring the potential of ChatGPT in medical dialogue summarization: a study on consistency with human preferences21
Modeling-based design of adaptive control strategy for the effective preparation of ‘Disease X’21
Haematology dimension reduction, a large scale application to regular care haematology data20
Risk factors and nomogram model for short-term postoperative complications in patients with hirschsprung disease20
Quantifying optimal inner limiting membrane peeling in macular hole surgery: a machine learning framework for predictive modeling and schematic visualization20
Systematic review and meta-analysis of workload among medical records coders in China20
Use of diagnostic likelihood ratio of outcome to evaluate misclassification bias in the planning of database studies20
Development, comparison, and internal validation of prediction models to determine the visual prognosis of patients with open globe injuries using machine learning approaches20
Designing and evaluating a mobile app to assist patients undergoing coronary angiography and assessing its impact on anxiety, stress levels, and self-care20
A national platform for advancing self-care processes for the most common illnesses and conditions: designing, evaluating, and implementing20
An effective multi-step feature selection framework for clinical outcome prediction using electronic medical records20
Prevention and control of urinary tract stones using a smartphone-based self-care application: design and evaluation20
A pseudonymized corpus of occupational health narratives for clinical entity recognition in Spanish20
Adapted time-varying covariates Cox model for predicting future cirrhosis development performs well in a large hepatitis C cohort20
Mining comorbidities of opioid use disorder from FDA adverse event reporting system and patient electronic health records20
Development and evaluation of regression tree models for predicting in-hospital mortality of a national registry of COVID-19 patients over six pandemic surges20
Machine learning algorithms’ accuracy in predicting kidney disease progression: a systematic review and meta-analysis19
Precision cancer medicine and the doctor-patient relationship: a systematic review and narrative synthesis19
The willingness to continue using wearable devices among the elderly: SEM and FsQCA analysis19
Factors influencing online orthopedic doctor–patient consultations19
Ensemble learning for the early prediction of neonatal jaundice with genetic features19
An evaluation of GPT models for phenotype concept recognition19
Retinal vein occlusion risk prediction without fundus examination using a no-code machine learning tool for tabular data: a nationwide cross-sectional study from South Korea19
Machine learning based model for the early detection of Gestational Diabetes Mellitus18
Optimizing protein sequence classification: integrating deep learning models with Bayesian optimization for enhanced biological analysis18
Machine learning clinical prediction models for acute kidney injury: the impact of baseline creatinine on prediction efficacy18
The validity of electronic health data for measuring smoking status: a systematic review and meta-analysis18
The role of machine learning in developing non-magnetic resonance imaging based biomarkers for multiple sclerosis: a systematic review18
Developing machine learning-based models to predict intrauterine insemination (IUI) success by address modeling challenges in imbalanced data and providing modification solutions for them18
Evaluating breast cancer websites targeting Arabic speakers: empirical investigation of popularity, availability, accessibility, readability, and quality18
Implementation of digital remote postoperative monitoring in routine practice: a qualitative study of barriers and facilitators18
Exploring the role of Artificial Intelligence in Acute Kidney Injury management: a comprehensive review and future research agenda18
A novel EEG-based major depressive disorder detection framework with two-stage feature selection18
Predictive value of machine learning for the progression of gestational diabetes mellitus to type 2 diabetes: a systematic review and meta-analysis18
Application of machine learning techniques for predicting survival in ovarian cancer18
Development of a machine learning model to predict mild cognitive impairment using natural language processing in the absence of screening18
Context factors in clinical decision-making: a scoping review18
Participatory methods in a digital setting: experiences from the co-creation of an eHealth tool for people with chronic obstructive pulmonary disease18
The association between video or telephone telemedicine visit type and orders in primary care18
Clinician-in-the-loop screening saturation: predicting annotation yield for efficient EHR review17
Optimising ePrescribing in hospitals through the interoperability of systems and processes: a qualitative study in the UK, US, Norway and the Netherlands17
Descriptive forest: experiments on a novel tree-structure-generalization method for describing cardiovascular diseases17
The development of a decision aid to support Hodgkin lymphoma survivors considering lung cancer screening17
Intelligent virtual case learning system based on real medical records and natural language processing17
ECG signal classification based on deep CNN and BiLSTM17
Patient values in patient-provider communication about participation in early phase clinical cancer trials: a qualitative analysis before and after implementation of an online value clarification tool17
Trusted sources of information on COVID-19 vaccine in Uganda17
A mental models approach for defining explainable artificial intelligence17
Identifying drug-related attributes to personalise antihypertensive agents: the outcome report of patients receiving metoprolol therapy17
Correction: Diagnosis of cardiac abnormalities based on phonocardiogram using a novel fuzzy matching feature extraction method17
An interactive dashboard for analyzing user interaction patterns in the i2b2 clinical data warehouse17
Comparing the performance of machine learning and conventional models for predicting atherosclerotic cardiovascular disease in a general Chinese population17
Predicting angiographic coronary artery disease using machine learning and high-frequency QRS16
Data quality and associated factors in the health management information system at health centers in Shashogo district, Hadiya zone, southern Ethiopia, 202116
The coming Omicron waves and factors affecting its spread after China reopening borders16
%diag_test: a generic SAS macro for evaluating diagnostic accuracy measures for multiple diagnostic tests16
Artificial intelligence of digital morphology analyzers improves the efficiency of manual leukocyte differentiation of peripheral blood16
Document-level medical relation extraction via edge-oriented graph neural network based on document structure and external knowledge16
Optimization of vision transformer-based detection of lung diseases from chest X-ray images16
Optimizing emergency department efficiency: a comparative analysis of process mining and simulation models to mitigate overcrowding and waiting times16
Evaluating the usability of Iran’s national comprehensive health information system: a think-aloud study to uncover usability problems in the recording of childcare data16
Enriching limited information on rare diseases from heterogeneous networks for drug repositioning16
Developing an interpretable machine learning model for easily detecting insulin resistance among breast cancer survivors: a cross-sectional study16
Towards a prescribing monitoring system for medication safety evaluation within electronic health records: a scoping review16
Development of a quantitative index system for evaluating the quality of electronic medical records in disease risk intelligent prediction16
Automatic data extraction to support meta-analysis statistical analysis: a case study on breast cancer16
A SuperLearner approach for predicting diabetic kidney disease upon the initial diagnosis of T2DM in hospital16
Community perspectives on the use of electronic health data to support reflective practice by health professionals16
Fuzzy constraint-based agent negotiation framework for doctor-patient shared decision-making16
Multimodal deep learning-based diagnostic model for BPPV16
Overall performance of a drug–drug interaction clinical decision support system: quantitative evaluation and end-user survey16
Real-time estimation of the remaining surgery duration for cataract surgery using deep convolutional neural networks and long short-term memory16
Prediction of central venous catheter-associated deep venous thrombosis in pediatric critical care settings15
Automated extraction of information of lung cancer staging from unstructured reports of PET-CT interpretation: natural language processing with deep-learning15
Intelligent identification system of gastric stromal tumors based on blood biopsy indicators15
Using provocative design to foster electronic informed consent innovation15
How successful is the CatBoost classifier in diagnosing different dental anomalies in patients via sella turcica and vertebral morphologic alteration?15
Non-invasive arterial blood pressure measurement and SpO2 estimation using PPG signal: a deep learning framework15
Analyzing the medical record homepages quality in a Chinese EMR system15
Development and external validation of machine learning models for the early prediction of malnutrition in critically ill patients: a prospective observational study15
Empowering personalized oncology: evolution of digital support and visualization tools for molecular tumor boards15
Enhancing post-traumatic stress disorder patient assessment: leveraging natural language processing for research of domain criteria identification using electronic medical records15
Influencing mechanism of the use behavior of clinical practice guidelines on antimicrobials: evidence from the integration of theory of reasoned action and organizational readiness for change15
Optimizing prognostic factors of five-year survival in gastric cancer patients using feature selection techniques with machine learning algorithms: a comparative study15
Continuous prediction for tumor mutation burden based on transcriptional data in gastrointestinal cancers15
An implementation framework and a feasibility evaluation of a clinical decision support system for diabetes management in secondary mental healthcare using CogStack15
Design and evaluation of a mobile-based nutrition education application for infertile women in Iran15
Research, development, and evaluation of the practical effect of a storage inflow and outflow management system for consumables in the endocrinology department of a hospital15
A comparative study of CNN-capsule-net, CNN-transformer encoder, and Traditional machine learning algorithms to classify epileptic seizure14
Evaluation of medical decision support systems (DDX generators) using real medical cases of varying complexity and origin14
TECRR: a benchmark dataset of radiological reports for BI-RADS classification with machine learning, deep learning, and large language model baselines14
Explainable AI for infection prevention and control: modeling CPE acquisition and patient outcomes in an Irish hospital with transformers14
A machine learning approach to determine the risk factors for fall in multiple sclerosis14
Identifying self-reported health-related problems in home-based rehabilitation of older patients after hip replacement in China: a machine learning study based on Omaha system theory14
Prediction of unplanned 30-day readmission for ICU patients with heart failure14
The prediction of distant metastasis risk for male breast cancer patients based on an interpretable machine learning model14
Clinical decision making under uncertainty: a bootstrapped counterfactual inference approach14
Nonlinear association between visceral fat metabolism score and heart failure: insights from LightGBM modeling and SHAP-Driven feature interpretation in NHANES14
Developing an AI-powered wound assessment tool: a methodological approach to data collection and model optimization14
Automatic segmentation of 15 critical anatomical labels and measurements of cardiac axis and cardiothoracic ratio in fetal four chambers using nnU-NetV214
DREAMER: a computational framework to evaluate readiness of datasets for machine learning14
Medical-informed machine learning: integrating prior knowledge into medical decision systems14
Computer-aided autism diagnosis using visual attention models and eye-tracking: replication and improvement proposal14
Memory rehabilitation during the COVID-19 pandemic14
Towards interpretable sleep stage classification with a multi-stream fusion network14
Utilization of patient portals: a cross-sectional study investigating associations with mobile app quality14
Making remote measurement technology work in multiple sclerosis, epilepsy and depression: survey of healthcare professionals14
Exploring the performance and explainability of fine-tuned BERT models for neuroradiology protocol assignment14
Developing a high-performance AI model for spontaneous intracerebral hemorrhage mortality prediction using machine learning in ICU settings14
Explainable prediction of daily hospitalizations for cerebrovascular disease using stacked ensemble learning14
Factors associated with the local control of brain metastases: a systematic search and machine learning application14
Development and evaluation of uncertainty quantifying machine learning models to predict piperacillin plasma concentrations in critically ill patients14
CRISP: A causal relationships-guided deep learning framework for advanced ICU mortality prediction14
Exploration of the optimal deep learning model for english-Japanese machine translation of medical device adverse event terminology13
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